Main
Natalie Z. Kerr
Data Scientist & Quantitative Biologist
Education
Tufts University
PhD, Quantitative Biology
Medford, MA, USA
2014–2019
University of Queensland
Bachelor of Environmental Science
St Lucia, QLD, Australia
2008–2012
Work Experience
Data Analytics Consultant
Pocket Prep
Durham, NC
2024-present
- Consultant for local company that develops an exam preparation app.
- Built random forest machine learning models to evaluate lead indicators of users’ passing their exams.
Assistant Research Professor
Duke University
Durham, NC
2022–present
- Lead scientist on a US federal grant.
- Coordinate funded research among 11 scientists across six institutions.
- Taught tertiary-level courses (e.g. Human Health, Disease Ecology).
- Member of several Duke board and department committees.
- Advised four undergraduate students in data science projects.
- Statistics consultant for graduate and postdoctoral researchers.
- Awarded several fellowship awards.
Postdoctoral Researcher
Duke University
Durham, NC
2019–2022
- Built predictive spatial models for at-risk species under future climate.
- Produced quarterly and annual reports to stakeholders.
- Produced statistical analysis plans.
- Invited to give five University seminars to a diverse audience with both analytical and non-analytical backgrounds.
- Statistics consultant for graduate and postdoctoral researchers.
Graduate Researcher
Tufts University & UC Davis
Medford, MA
2014–2019
- Data wrangling and analysis for projects with large longitudinal datasets.
- Developed novel statistical and modeling techniques for exploring high dimensional systems to solve optimization problems.
- Published six peer-reviewed publications; four were first author.
Selected Workshops & Teaching
Frequentist approaches to data analytics in R
Two-day virtual workshop series funded by the EntSoc Early Careers Professionals initiative. GitHub
N/A
2020
Ecological Models and Statistics
Undergraduate and graduate tertiary-level course covering Frequentist and Bayesian statistics. Tufts University, Medford.
N/A
2019
Biostatistics
Undergraduate tertiary-level course covering Frequentist statistics. Tufts University, Medford, MA.
N/A
2018
Exploiting the Dynamism of R Software
Half-day workshop at the Ent Soc Joint Annual Meeting. Vancouver, Canada.
N/A
2018
Implementing the Delta Method and bootstrapping to estimate variance in covarying model coefficients
Half-day workshop exploring R packages & applications. UC Davis, California.
N/A
2018
Selected Publications
Larger workers outperform smaller workers across resource environments: Evaluation of demographic data using FLMs
Ecology & Evolution. (2021). doi:10.1002/ece3.7239
N/A
2021
Developmental trap or demographic bonanza? Opposing consequences of earlier phenology in a changing climate for a multivoltine butterfly
Global Change Biology. (2020). doi:10.1111/gcb.14959
N/A
2020
Using statistics to design and estimate vital rates in matrix population models for a perennial herb
Population Ecology. (2019). doi:10.1002/1438-390X.12024
N/A
2019
Prioritizing management actions for invasive populations using cost, efficacy, demography, and expert opinion
J. Applied Ecology (2016). doi:10.1111/1365-2664.12592
N/A
2016
Disclaimer
Last updated on 2024-03-22.
Completed using RMarkdown.
R Package: pagedown